## Set simulation set number
i=1
## Specify number of simulation
Nsim=1
## Set seed for reprodicibility.
set.seed(i)
## Get the LCE and CCR estimation packages
library(twoplane) # LCE
library(palm) # CCR
nm2km=1.852 # multiplier to convert nautical miles to kilometres
planeknots=100 # observer speed in knots CHECK THIS
planespd=planeknots*nm2km/(60^2) # observer speed in km/sec
# Density
D = D.2D <- 1.24
## Mean dive-cycle duration (seconds).
tau <- 110
## Transect half-width.
halfw.dist = w <- 0.125
## Transect length.
L = d <- 1100
## Multiplier of sigma, to set bound for maximum distance moved in k seconds
sigma.mult=5
sigma_palm = 0.15 # estimated Palm-type sigma (in km) from porpoise data, with lag 248 seconds
sigmarate = sigmapalm2sigmarate(sigma_palm,lag=248) # Brownian sigmarate consistent with sigma_palm
progbar = FALSE
movement = list(forward=TRUE,sideways=TRUE)
control.opt=list(trace=0,maxit=1000)
fn.append = paste("set", i, sep = "")
p=c(1,1)
# --------------- Set up and run the full set of simulations -------------------
sigmarates = c(8, 15, 23)/1000
kappas = c(0.5, 0.8, 0.9)*tau
ks = c(10, 20, 50, 80)
fns = c(rep("",length(sigmarates)*length(kappas)*length(ks))) # filenames
start.a=1; start.k=1; start.s=1
end.a=length(kappas); end.k=length(ks); end.s=length(sigmarates)
simnum = 0
#simethod = "Palm"
simethod = "MLE"
Ltype = "FixedL"
fix.N=TRUE # Allows the abundance to vary betwen simulations (as Poission with rate D.2D*2*b*L)
En = NULL # Let E[n] be determined by L and D.2D.
if(fix.N) Ntype = "FixedN" else Ntype = "RandomN"
if(!is.null(En)) Ltype = "RandomL"
startime=date()
for(na in start.a:end.a) {
for(nk in start.k:end.k) {
for(ns in start.s:end.s) {
## Calculating appropriate buffer width.
sigma = sigmarates[ns]/(sqrt(2)/sqrt(ks[nk]))
b <- w + sigma.mult*sigma
simnum = simnum+1
seed <- sample(10000, size = 1)
fns[simnum] = dosim(D.2D,L,w,b,sigmarates[ns],ks[nk],planespd,kappas[na],tau,p=p,movement=movement,
fix.N=fix.N,En=En,Nsim=Nsim,writeout=TRUE,seed=seed,simethod=simethod,
control.opt=control.opt,adj.mvt=TRUE,ft.normal=FALSE,sim.ft.normal=TRUE,
progbar=progbar,fn.append=fn.append)
}
}
cat(na, "\n")
}
endtime=date()
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